3 papers
cs.CV2026
RAViT: Resolution-Adaptive Vision Transformer
Martial Guidez, Stefan Duffner, Christophe Garcia
Vision transformers have recently made a breakthrough in computer vision showing excellent performance in terms of precision for numerous applications. However, their computational…
cs.CV2024
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe, Stefan Duffner, Carole Lartizien
Recently, federated learning has raised increasing interest in the medical image analysis field due to its ability to aggregate multi-center data with privacy-preserving properties…
cs.CV2024
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation
Matthis Manthe, Carole Lartizien, Stefan Duffner
Empirical studies show that federated learning exhibits convergence issues in Non Independent and Identically Distributed (IID) setups. However, these studies only focus on label d…